Time Series Analysis Using Transprecision Computing
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Fernández-Vega, Iván
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Abstract
This work presents results using transprecision techniques for reducing the precision of the computation of time series analysis. The developed benchmark allows to explore how the accuracy of the results is affected by this reduction in the precision of the data types. Custom hardware could benefit from this approach reducing energy consumption and improving performance.
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Presented at NiPS Summer School 2019, Perugia (Italy)






